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most citedCompRRAE: RRAM-based Convolutional Neural Network Accelerator with Reduced Computations through a Runtime Activation Estimation

11 citations · 14 across the 3 of their papers we have counts for

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eess.SP2019★ 11 cited

CompRRAE: RRAM-based Convolutional Neural Network Accelerator with Reduced Computations through a Runtime Activation Estimation

Xizi Chen, Jingyang Zhu, Jingbo Jiang +1

Recently Resistive-RAM (RRAM) crossbar has been used in the design of the accelerator of convolutional neural networks (CNNs) to solve the memory wall issue. However, the intensive…